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Classification, Clustering, and Data Mining Applications
This volume describes new methods with special emphasis on classification and cluster analysis. These methods are applied to problems in information retrieval, phylogeny, medical diagnosis, microarrays, and other active research areas.
Classification, Clustering, and Data Analysis
The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.
Clusters, Orders, and Trees: Methods and Applications
The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkin’s ground breaking contributions in various fields of decision making and data analysis have marked the fourth quarter of the 20th century and beyond. Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hidden structures—first of all, clusters, orderings and hierarchies—in multivariate and/or network data. This volume contains a collection of papers reflecting recent developments rooted in Mirkin’s fundamental contribution to the state-of-the-art in group choice, ordering, clustering, data mining and knowledge discovery. Researchers, students and software engineers will benefit from new knowledge discovery techniques and application directions.
Trees and Proximity Representations
This textbook describes the combinatorial analysis of data using trees as the model. It explores the applications of this technique in such fields as computer science, decision theory, artificial intelligence, information theory and the social sciences.
Mathematical Hierarchies and Biology
Twenty-four articles from the November 1996 workshop investigate the reconstruction of trees or ranking hierarchies from dissimilarity or entity-to-character data, the use of hierarchies for modeling evolution and other processes, and the combining of gene trees. Included are mathematical treatments of hierarchies in the frameworks of set systems, linear subspaces, graph objects, and tree metrics in their analyses. Such current applications as learning robots, intron evolution, and the development of language are addressed. Annotation copyrighted by Book News, Inc., Portland, OR.
Graph Partitioning
Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made. This book brings together the knowledge accumulated during many years to extract both theoretical foundations of graph partitioning and its main applications.
Methods in Proteome and Protein Analysis
Following the succesful publication of "Proteome and Protein Analysis" in 2000, which was based on a former MPSA (Methods in Protein Structure Analysis) conference, Methods in Proteome and Protein Analysis presents the most interesting papers from the 14th MPSA meeting. Major topics include: protein and peptide sample preparation and separation; new reagent for protein sequence analysis; mass spectrometry in protein research; analysis of posttranslational modification; protein-protein interaction using MALDI-MS; manipulation of genome or functional compositon trap; structure-function correlation study using optical biosensors of microcolorimetrical techniques; structural proteomics as NMR or fluorescence polarization study; the classification and prediction of structure or functional sites; in silico analysis of proteins and proteomes; increasing throughput and data quality for proteomics.
The Indo-Europeans
The existence of an Indo-European linguistic family, allowing for the fact that several languages widely dispersed across Eurasia share numerous traits, has been demonstrated for several centuries now. But the underlying factors for this shared heritage have been fiercely debated by linguists, historians, archaeologists, and anthropologists. The leading theory, of which countless variations exist, argues that this similarity is best explained by the existence, at one given point in time and space, of a common language and corresponding population. This ancient, prehistoric, population would then have diffused across Eurasia, eventually leading to the variation observed in historical and mode...
Algorithmic Decision Theory
This book constitutes the refereed proceedings of the Second International Conference on Algorithmic Decision Theory, ADT 2011, held in Piscataway, NJ, USA, in October 2011. The 24 revised full papers presented were carefully reviewed and selected from 50 submissions.
